Enhancing Sustainability in Linear WSNs Using DSDVTRI: A Triple-Interleaving Routing Approach for Pipeline Monitoring
DOI:
https://doi.org/10.26877/asset.v8i2.2620Keywords:
interleaving, multi-hop, real-time monitoring, pipeline monitoring, linear topology, energy efficiency, routing protocol, DSDVTRIAbstract
The safety and efficiency of oil and gas pipelines remain critical due to the high risks associated with leaks, pressure surges, and undetected structural damage. WSNs provide an effective solution for real-time monitoring by deploying sensor nodes along the pipeline. However, existing routing protocols such as DSDV and AODV face challenges with congestion, packet loss, and uneven energy consumption in long linear topologies. This study proposes DSDVTRI, a triple-interleaving extension of the DSDV protocol designed to improve data delivery and energy efficiency in linear pipeline networks. Simulations were performed using NS2.35 version across node counts ranging from 20 to 200. The results show that at number of nodes 100, DSDVTRI improves throughput by 14.2% and delivery ratio by 3.05% compared to DSDV, while reducing energy consumption per packet by 6.3%. These findings demonstrate that DSDVTRI enhances performance stability, making it suitable for real-time and energy-efficient pipeline monitoring applications.
References
[1] F. F. M. Affandi, N. A. Mahiddin, and A. D. A. Hashim, “MANET performance evaluation for DSDV, DSR and ZRP,” International Journal of Advanced Technology and Engineering Exploration, vol. 10, no. 99, pp. 245–257, Feb. 2023, doi: https://doi.org/10.19101/IJATEE.2022.10100340.
[2] O. O. Aldawibi, S. F. Alahmar, and A. S. Khrwat, “Performance Assessment on Backoff Contention Window for MANETs in Congested Area and Random Movement,” 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2021 - Proceedings, pp. 762–766, May 2021, doi: https://doi.org/10.1109/MI-STA52233.2021.9464373.
[3] F. A. Dael, M. A. Amran, I. Shayea, and L. Rzayeva, “Performance Evaluation of Routing Protocols in Vehicular Ad-Hoc Networks for Highway Scenarios,” 2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024, pp. 257–264, 2024, doi: https://doi.org/10.1109/ICBDML60909.2024.10577327.
[4] R. Singh and N. Singh, “Performance Assessment of DSDV and AODV Routing Protocols in Mobile Adhoc Networks with Focus on Node Density and Routing Overhead,” 2020 International Conference on Emerging Smart Computing and Informatics, ESCI 2020, pp. 298–303, Mar. 2020, doi: https://doi.org/10.1109/ESCI48226.2020.9167627.
[5] H. Gou, G. Zhang, R. R. Calixto, S. K. Jagatheesaperumal, and V. H. C. de Albuquerque, “Reliable Data Collection Model and Transmission Framework in Large-Scale Wireless Medical Sensor Networks,” Computer Modeling in Engineering & Sciences, vol. 140, no. 1, pp. 1077–1102, Apr. 2024, doi: https://doi.org/10.32604/CMES.2024.047806.
[6] M. N. Hussien, O. Shirko Mustafa, and O. F. Mohammed, “Evaluating the performance of MANETs Routing Protocols AODV and DSDV using the NS2 Network Simulator,” Proceedings of the 10th International Engineering Conference on Advances in Computer and Civil Engineering: Innovative Engineering Solutions for Sustainable Development, IEC 2024, pp. 35–40, 2024, doi: https://doi.org/10.1109/IEC61018.2024.11064056.
[7] Z. Ma, Z. Hao, and Z. Zhao, “An investigation on energy-saving scheduling algorithm of wireless monitoring sensors in oil and gas pipeline networks,” Energy Informatics 2024 7:1, vol. 7, no. 1, pp. 104-, Oct. 2024, doi: https://doi.org/10.1186/S42162-024-00412-5.
[8] M. Singh Bisht, T. Singh, and K. Aggarwal, “A Reliable and Energy-Efficient Transport Protocol for Wireless Sensor Networks,” Proceedings - 2024 1st International Conference on Technological Innovations and Advance Computing, TIACOMP 2024, pp. 295–301, 2024, doi: https://doi.org/10.1109/TIACOMP64125.2024.00056.
[9] T. Siron Anita Susan, B. Nithya, S. A. Reji, and M. Avisha Rai, “Queueing delay-based congestion control technique for seamless routing in WRSN,” 9th International Conference on Smart Computing and Communications: Intelligent Technologies and Applications, ICSCC 2023, pp. 670–675, 2023, doi: https://doi.org/10.1109/ICSCC59169.2023.10335085.
[10] Amit and G. Hanji, “Energy Efficiency Techniques in Wireless Sensor Network for Sensor Nodes,” 2024 Global Conference on Communications and Information Technologies, GCCIT 2024, 2024, doi: https://doi.org/10.1109/GCCIT63234.2024.10862433.
[11] R. C. Jisha, J. Joseph, and M. N. M. Basheer, “Comprehensive Study on Mobile Ad-hoc Routing Protocols: OLSR, AODV and DSDV,” 2022 IEEE 3rd Global Conference for Advancement in Technology, GCAT 2022, 2022, doi: https://doi.org/10.1109/GCAT55367.2022.9971899.
[12] P. Kaur, K. Kaur, D. K. Verma, K. Singh, K. Kaushik, and V. Singh, “Routing Protocols in Wireless Sensor Networks: A Comprehensive Review and Future Perspectives,” Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2024, pp. 263–270, 2024, doi: https://doi.org/10.1109/IC3I61595.2024.10828894.
[13] S. K. Subramaniam, S. M. Khan, A. Titik, and R. Nilavalan, “Static pipeline network performance optimisation using dual interleave routing algorithm,” IIUM Engineering Journal, vol. 19, no. 1, pp. 129–143, 2018, doi: https://doi.org/10.31436/iiumej.v19i1.841.
[14] J. Yan and B. Qi, “CARA: A Congestion-Aware Routing Algorithm for Wireless Sensor Networks,” Algorithms 2021, Vol. 14, Page 199, vol. 14, no. 7, p. 199, Jun. 2021, doi: https://doi.org/10.3390/A14070199.
[15] M. Y. L. I. Lee, A. S. A. Azman, S. K. Subramaniam, and F. S. Feroz, “Network performance optimisation using triple interleaving routing algorithm for oil and gas pipeline network,” International Journal of Communication Networks and Distributed Systems, vol. 28, no. 2, pp. 147–170, 2022, doi: https://doi.org/10.1504/IJCNDS.2022.121198.
[16] M. Yusry Lee et al., “Network Performance Optimisation Using Odd And Even Dual Interleaving Routing Algorithm For Oil And Gas Pipeline Network Advance Sensors & Embedded Controls System (ASECS), Fakulti Kejuruteraan Elektronik dan Pervasive Computing and Educational Technology (PET), Fakulti Kejuruteraan Elektronik dan,” J. Theor. Appl. Inf. Technol., vol. 100, no. 8, 2022, doi: https://doi.org/10.12928/si.v20i1.13.
[17] M. Y. Lee, A. S. Azman, S. K. Subramaniam, and F. S. Feroz, “Performance Analysis of Linear Topology Wireless Sensor Network in Oil and Gas Industry,” IOP Conf. Ser. Mater. Sci. Eng., vol. 765, no. 1, 2020, doi: https://doi.org/10.1088/1757-899X/765/1/012070.
[18] J. Tiwari, S. Soni, and P. Chandra, “"IMPROVED LOAD BALANCING PROTOCOL FOR WSN ",” Journal of Data Acquisition and Processing, vol. 38, no. 3, p. 6104, 2023, doi: https://doi.org/10.5281/zenodo.7778226.
[19] D. N. Kumaran, S. K. Subramaniam, A. Fayeez, T. Ibrahim, V. Rao Gannapathy, and S. Rajkumar, “Performance Analysis of Proactive Routing Algorithm for a Multi-Hop Pipeline Network,” International Journal of Academic Research in Business and Social Sciences, vol. 14, no. 12, pp. 4212–4228, Dec. 2024, doi: https://doi.org/10.6007/IJARBSS/V14-I12/24405.
[20] A. Anjum, Dattathreya, S. A. Mohammed, D. Rabadiya, K. B. Venkata Brahma Rao, and R. Maranan, “Smart Sampling and Residual Bottleneck Dense Network for Reliable and Energy-Efficient Routing in WSNs,” Proceedings of 5th International Conference on Trends in Material Science and Inventive Materials, ICTMIM 2025, pp. 338–344, 2025, doi: https://doi.org/10.1109/ICTMIM65579.2025.10988038.
[21] F. S. Mukti, J. E. Lorenzo, R. Zuhdianto, A. Junikhah, A. Soetedjo, and A. U. Krismanto, “A Comprehensive Performance Evaluation of Proactive, Reactive and Hybrid Routing in Wireless Sensor Network for Real Time Monitoring System,” Proceedings - 2nd International Conference on Computer Science and Engineering: The Effects of the Digital World After Pandemic (EDWAP), IC2SE 2021, 2021, doi: https://doi.org/10.1109/IC2SE52832.2021.9791992.
[22] T. S. Balaji, R. M. D. Charaan, J. Rajalakshmi, V. Samuthira Pandi, D. Shobana, and J. L. Priya, “An Enhanced Packet Delivery Ratio Improvement Protocol Design over 5G Assisted Wireless Sensor Network Environment,” 2024 Global Conference on Communications and Information Technologies, GCCIT 2024, 2024, doi: https://doi.org/10.1109/GCCIT63234.2024.10862903.
[23] N. Raghava, A. S. D. Murthy, G. Mohan, R. Yamini, and M. S. Nidhya, “Energy Efficient Node with Concurrent Transmission in WSN,” 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, 2024, doi: https://doi.org/10.1109/ICCCNT61001.2024.10724698.
[24] S. Touloum, L. Bouallouche-Medjkoune, D. Aissani, and C. Ouanteur, “Performance analysis of the IEEE 802.15.4e TSCH-CA algorithm under a non-ideal channel,” International Journal of Wireless and Mobile Computing, vol. 18, no. 1, pp. 1–15, 2020, doi: https://doi.org/10.1504/IJWMC.2020.104765.
[25] C. Zhang, J. Yang, and N. Wang, “An active queue management for wireless sensor networks with priority scheduling strategy,” J. Parallel Distrib. Comput., vol. 187, p. 104848, May 2024, doi: https://doi.org/10.1016/J.JPDC.2024.104848.
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